Uber Eats
Integrates with Uber Eats using browser automation to enable restaurant searches, menu exploration, and food order placement for a
This MCP server implementation provides a bridge to Uber Eats, enabling AI assistants to search for restaurants, find menu options, and place food orders. Built using Python and the FastMCP framework, it leverages browser automation to interact with the Uber Eats website. The server offers asynchronous operations for searching and ordering, making it suitable for use cases requiring food delivery integration within AI-assisted applications.
Source
Repository: https://github.com/ericzakariasson/uber-eats-mcp-server
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